Seven service lines.
One forward-deployed team.
We embed inside your environment and build — we don't license software and leave. Senior engineers only. The people you meet are the people who ship.
01AI Strategy & DiscoveryStructured discovery engagement producing a costed AI roadmap and business case before writing a single line of code.
AI Consulting
Domain dictionary
Data audit
Use case prioritisation
Architecture proposal
ROI model
03AI Product Discovery & Sales AssistantAn AI layer that knows your catalogue as well as your best salesperson — natural language queries, technical Q&A, and RFQ pre-qualification 24/7.
AI Engineering
Customer-facing conversational discovery
Internal sales assistant
Semantic search with tolerance matching
RFQ guidance & pre-qualification
Sidecar deployment — no migration
05AI Customer Service Co-pilotAI drafts policy-grounded helpdesk replies for agents to review and send. Pulls live order data from your backend.
AI Engineering
Helpdesk integration (Zendesk, Freshdesk)
Policy-grounded draft-and-review
Live order, shipping & returns lookup
Escalation flagging & async routing
Ticket categorisation & reporting
07Custom AI Platform DevelopmentFull-stack AI platform design and build — front-end, back-end, RAG pipeline, integrations, and launch. Full IP ownership transferred to the client.
Software Development
Full-stack platform (Next.js, React, RAG)
Third-party integrations & auth
CI/CD, staging & production deployment
Logging, observability & monitoring
All IP & source code transferred
02AI Knowledge & Expertise CaptureExtract, structure, and encode the expertise inside an organisation into an AI knowledge system that works without the person who originally held it.
AI Engineering
Expert interview synthesis
Document parsing (PDF, OCR, scanned)
Hybrid RAG retrieval
Hallucination guardrails with citation
Golden dataset & evaluation
04AI Sales EnablementAn AI co-pilot for internal sales and pre-sales teams. Real-time product knowledge, automated RFQ preparation, and lead qualification.
AI Engineering
Real-time product & spec lookup
Automated RFQ & quote preparation
Lead qualification logic
Technical objection handling
CRM integration with logging
06Data Structuring & AI ReadinessAudit, clean, and structure data across PDFs, CSVs, ERPs, and product databases into AI-ready records.
Data Engineering
Multi-source data audit
PDF parsing & structured extraction
Catalogue normalisation
Programmatic asset linking
Golden dataset & gap report
Deployment specialist offerings
Built for speed.
Priced for value.
Industry Accelerator
We've already solved your industry's problem.
Pre-built, industry-tuned AI starter packages for the verticals where we have proven delivery. Pre-configured architecture, domain vocabulary, and pre-tested data pipelines.
Niche B2B technical manufacturing
Specialist e-commerce
Technical documentation platforms
Faster to POC. Lower risk. More credible from day one.
AI Performance Retainer
We don't build it and leave.
A monthly retainer that keeps your AI performing against the KPIs agreed at project start. Because your business never stands still — and your AI shouldn't get stale.
Performance monitoring and model tuning
Knowledge base updates as your business changes
Query pattern analysis
One improvement sprint per month
Common problems
If any of these sound familiar,
we've solved them before.
Your best engineers spend half their day answering the same questions
Technical buyers ask repetitive product questions that take senior time to answer properly. The knowledge exists — it's just locked inside a handful of people.
→ AI Knowledge Capture · Sales Assistant
Customers can't find what they're looking for — and leave
A catalogue of thousands of products, but site search returns irrelevant results. Buyers who can't find what they need in two minutes go to a competitor.
→ AI Product Discovery · Semantic Search
Your data is everywhere and in no condition to train an AI on
PDFs, CSVs, legacy databases, scanned documents, three different ERP exports. Every AI pilot that tries to use it fails in week two.
→ Data Structuring & AI Readiness
You've evaluated AI tools but none fit your actual environment
Generic AI products work in demos. They fail when they hit your SSO, your legacy ERP, your data residency requirements, and your production credentials.
→ Custom AI Platform Development
Customer service response times are damaging your reputation
Slow replies are the top complaint in your reviews. Your team spends hours on tickets that follow the same patterns when they should handle exceptions.
→ AI Customer Service Co-pilot
You built an AI system and it stopped working six months later
Models drift. Knowledge bases go stale. The AI that worked at launch now gives outdated answers nobody trusts, and nobody owns it anymore.
→ AI Performance Retainer
Low risk. Fixed price.
Not sure which service fits?
Start with the AI Readiness Audit — a 2–3 week diagnostic that maps where AI creates the most value and hands you a prioritised, costed action plan.